shuzizaibo

paper about Identification of a Reduced Order Wind Turbine Transfer Function from the Turbine’s Step Response

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

一个基于肤色的人脸检测源码，毕业设计用，上传共享。(a color-based face detection source, a graduate of the design used Upload share.)

use estimate maximization to calculate maximization of equation

optimal power flowoptimal power flowoptimal power flowv

小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近(CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation)

使用卡尔曼滤波对一个弹跳的小球进行跟踪并绘出其运动轨迹(target tracking using kalman)

拉格朗日粒子追踪法的matlab程序,用于海洋中的水微团的追踪(tracking the path of paritle using lagrange method. it is using in the ocean)

NRTL活度系数方程回归计算小程序，仅供交流学习(NRTL activity equation regression program for communication and study)

卡曼滤波英文原版，适合初学者学习理论，全是精髓。(Kaman filtering English edition, suitable for beginners to learn the theory, all the essence.)